Daniel Dunlavy
About
Daniel Dunlavy is a scholar working on Artificial Intelligence, Computational Mathematics and Computer Vision and Pattern Recognition.
According to data from OpenAlex, Daniel Dunlavy has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Computational Mathematics and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daniel Dunlavy’s work include Tensor decomposition and applications (10 papers), Parallel Computing and Optimization Techniques (3 papers) and Computational Physics and Python Applications (3 papers). Daniel Dunlavy is often cited by papers focused on Tensor decomposition and applications (10 papers), Parallel Computing and Optimization Techniques (3 papers) and Computational Physics and Python Applications (3 papers). Daniel Dunlavy collaborates with scholars based in United States, Türkiye and Denmark. Daniel Dunlavy's co-authors include Tamara G. Kolda, Evrim Acar, Morten Mørup, Michael Eldred, Dianne P. O’Leary, John M. Conroy, Judith D. Schlesinger, Patricia J. Crossno, Michael M. Wolf and D. Steven Mackey and has published in prestigious journals such as Chemometrics and Intelligent Laboratory Systems, Information Processing & Management and Journal of Chemometrics.
In The Last Decade
Co-authorship network of co-authors of Daniel Dunlavy i
Fields of papers citing papers by Daniel Dunlavy
Since SpecializationEngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics
This network shows the specialization of papers citing the papers produced by Daniel Dunlavy. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Daniel Dunlavy may publish in the future.
Countries citing papers authored by Daniel Dunlavy
Since SpecializationCitations
This map shows the geographic impact of Daniel Dunlavy's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel Dunlavy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Dunlavy more than expected).
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